by 19 October 2020, 12PM.

Overview

Row

New cases

865

Active cases

7456

Total cases

21363

cases per 100,000 persons

65.37

days to double the number of total cases

26.64

Row

New deaths

3

Total deaths

190

deaths per 1000 cases

8.89

Row

in ICU

99

require breathing support

32

Row

Recovered

455

Total recovered

13717

recovered per 1000 cases

642.09

Row

Sources: Director-General of Health Malaysia and Department of Statistics Malaysia.

Cases

Row

new cases today

865

new cases expected tomorrow

563

additional new cases expected in 3 days

1759

additional new cases expected in a week

4453

total cases today

21363

total cases expected in a week

25816

Row

New cases, hover/tap on the graph for details.

Total cases, hover/tap on the graph for details.

Row

Significant factors: 1. Days since Tabligh gathering (Rate ratio: 1.35 [95% CI: 1.21, 1.63] per day), 2. Days since movement control order (Rate ratio: 0.73 [95% CI: 0.6, 0.82] per day), 3. Days since conditional movement control order (Rate ratio: 0.92 [95% CI: 0.89, 0.96] per day), 4. Days since recovery movement control order (Rate ratio: 1.14 [95% CI: 1.11, 1.18] per day) based on a quasipoisson regression model.

Deaths

Row

new deaths today

3

new deaths expected tomorrow

3

additional new deaths expected in 3 days

10

additional new deaths expected in a week

30

total deaths today

190

total deaths expected in a week

220

Row

New deaths, hover/tap on the graph for details.

Total deaths, hover/tap on the graph for details.

Row

Significant factor: 1. Number of cases in ICU (Rate ratio: 1.03 (95% CI: 1.03, 1.04) per increase in case in ICU).

Cases by State

Row

New cases, hover/tap on the graph for details.

Total cases, hover/tap on the graph for details.

Deaths by State

Row

New deaths, hover/tap on the graph for details.

Total deaths, hover/tap on the graph for details.

Data and Our Team

Row

The data are sourced from:

Epidemiology Modelling Team members, School of Medical Sciences, Universiti Sains Malaysia (USM):

Department of Community Medicine:

  • Assoc. Prof. Dr. Kamarul Imran Musa (Dr. KIM)
  • Dr. Mohd Azmi B. Suliman
  • Dr. Mohamad Zarudin B Mat Said
  • Dr. Wira Alfatah B Ab Ayah @ Ab Aziz
  • Dr. Che Muhammad Nur Hidayat B Che Nawi
  • Dr. Afiqah Syamimi Bt Masrani
  • Mr. Tengku Muhammad Hanis B Tengku Mokhtar

Biostatistics and Research Methodology Unit:

Jabatan Kesihatan Negeri, Pahang:

  • Dr. Sahrol Azmi

Pusat Data PPKT Kampus Kesihatan:

  • Mohd Fadzali Bakar
  • Mohd Faizal Abdul Manaf
  • Ahmad Syakiren Mazalan

Disclaimer: We and USM are not responsible for any damage or inconvenience caused directly or indirectly by the use of this dashboard.

We built this dashboard using

  • RStudio

  • Packages:

    • flexdashboard
    • ggplot2
    • plotly
    • broom